Triple

T12030215
Position Surface form Disambiguated ID Type / Status
Subject Rio Lobo E286383 entity
Predicate portrayedBy P1507 FINISHED
Object Jennifer O’Neill
Jennifer O’Neill is an American actress and former model best known for her roles in films such as "Summer of ’42" and a variety of 1970s and 1980s movies and television productions.
 E1025092 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jennifer O’Neill | Statement: [Rio Lobo, portrayedBy, Jennifer O’Neill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jennifer O’Neill
Context triple: [Rio Lobo, portrayedBy, Jennifer O’Neill]
  • A. Susan O’Neill
    Susan O’Neill was the wife of American film and stage actor Otto Kruger.
  • B. Alison O’Brien
    Alison O’Brien is a film producer known for her work on the 2019 animated adaptation of The Addams Family.
  • C. Lisa O'Brien
    Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
  • D. Christine Brennan
    Christine Brennan is an American sports journalist, author, and television commentator known for her coverage of the Olympics and advocacy for women in sports.
  • E. Stephanie O'Sullivan
    Stephanie O'Sullivan is a former ice hockey player known for her collegiate career with the Providence Friars women's program.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jennifer O’Neill
Triple: [Rio Lobo, portrayedBy, Jennifer O’Neill]
Generated description
Jennifer O’Neill is an American actress and former model best known for her roles in films such as "Summer of ’42" and a variety of 1970s and 1980s movies and television productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jennifer O’Neill
Target entity description: Jennifer O’Neill is an American actress and former model best known for her roles in films such as "Summer of ’42" and a variety of 1970s and 1980s movies and television productions.
  • A. Susan O’Neill
    Susan O’Neill was the wife of American film and stage actor Otto Kruger.
  • B. Alison O’Brien
    Alison O’Brien is a film producer known for her work on the 2019 animated adaptation of The Addams Family.
  • C. Lisa O'Brien
    Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
  • D. Christine Brennan
    Christine Brennan is an American sports journalist, author, and television commentator known for her coverage of the Olympics and advocacy for women in sports.
  • E. Stephanie O'Sullivan
    Stephanie O'Sullivan is a former ice hockey player known for her collegiate career with the Providence Friars women's program.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eac128408190a29b4f8a6e1240dd completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6f02dcce88190bdb07e271a52729a completed May 3, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_69f6f09ff1088190812008373c0553d5 completed May 3, 2026, 6:52 a.m.
Created at: April 8, 2026, 9:47 p.m.